Kaja Polachowska

About the author:

Communication specialist in love with the English language, a translator who also translates from tech to human. Follow at Quora

Posts by Kaja:

    Mistakes of AI adoption: How much can we trust AI?
    10 Oct 2019 in Artificial intelligence

    The trust we have for any technology is usually limited. With artificial intelligence, we can be tempted to be even more skeptical: if it’s to display intelligence, the bar is set high. The problem can grow when we consider that there’s no clear, uniform definition of human intelligence. If the original is not fully understood, [...]

    Mistakes of AI adoption: the underestimated human factor
    03 Oct 2019 in Artificial intelligence

    The sins of AI adopters, part 3: when you don’t focus on people quite enough Adopting a new technology can make us lose sight of the people we work with. Not forever, of course, but even when you implement AI, there are certain roles that people play, and it won’t change. Artificial intelligence is not [...]

    Mistakes of AI adoption: the mismatch of business and tech
    26 Sep 2019 in Artificial intelligence

    The sins of AI adopters, part 2 The difficulty in identifying appropriate business use cases for AI projects remains one of the top barriers to AI implementation. Selecting an AI project, especially for the first time, can be challenging since it requires organizations to find the perfect balance between business and technology. Matching these two [...]

    Mistakes of AI adoption: lack of data strategy
    19 Sep 2019 in Artificial intelligence

    The sins of AI adopters Artificial intelligence adoption may be tricky. It’s a technology different than any other you’ve implemented before. There are rules to follow, some of them incomprehensible to someone without extensive AI knowledge. There are certain challenges companies can face while implementing AI: data quality, model errors, lack of data science experts [...]

    Dynamic pricing in practice: Is it for everyone?
    12 Sep 2019 in Artificial intelligence

    Dynamic pricing has been around for as long as we’ve known commerce. Prices vary depending on a number of factors: customer status, location, supply, demand, time. We’re witnessing more on more online sellers adopt this pricing strategy too and it seems like it’s working. It’s an easy way to stay competitive and squeeze out more [...]

    What’s the use of dynamic pricing?
    05 Sep 2019 in Artificial intelligence

    This is an excerpt from the ebook “Predictive Analytics for Business”. Download full text here.  What is dynamic pricing? Dynamic pricing is a pricing strategy in which companies apply variable pricing instead of traditional, fixed pricing. Prices are set in accordance with current market demands and as data is analyzed, the right prices are calculated. [...]

    Is it worth it? ROI of recommender systems, implementation challenges, and measuring the success
    29 Aug 2019 in Artificial intelligence

    Recommender systems promise to reduce churn and increase sales. But how do you measure their actual success? What is it that you should measure? And what challenges should you look out for when you’re building your recommendation engine? In this article, we’ll discuss some challenges of recommendation engines, the ROI, and standard metrics to help [...]

    How to build a recommender system
    22 Aug 2019 in Artificial intelligence

    Learn from the best: Netflix, Amazon, and Google The biggest players use recommendation engines to boost sales, increase revenue, and improve customer experience. They have experimented with recommenders and worked out the best ways to use, so now businesses all around the world can learn from them and follow their lead. Though you may not [...]

    How to increase revenue with predictive analytics
    15 Aug 2019 in Artificial intelligence

    5 sales and marketing use cases to maximize ROI Predictive analytics is a powerful tool enhancing the work of staff across various departments, especially sales and marketing. Predictive analytics unlocks the potential of the data organizations collect - without a way to analyze data and derive insights from it, it’s useless. But with PA, you [...]

    How to boost sales with a recommender system
    25 Jul 2019 in Artificial intelligence

    Do you enjoy the movies that Netflix recommends to you? How often do you buy the products from the “others also bought” section? Countless businesses now use recommendation engines to improve customer experience and increase revenue. The cool thing about recommendations is that they’re awesome both for you as a business and you as a [...]